Artificial Intelligence, Machine Learning, & Data - Summer 2027 Internships

Internship Term: Summer 2027 **This is a bucket application, and is not an official opening. Your application can be considered for Rivian’s 2027 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for.** Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between Fall 2027 through Spring 2029. Rivian's Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions. **No Visa Sponsorship** If you are not pursuing a degree, please see our full-time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. * Applying to this opening will place you into consideration of Rivian’s 2025 Internship programs. * Teams your application can be considered for include: + Autonomy, Data Science & Analytics + Autonomous Driving + Machine Learning/AI Engineering + Perception Engineering + Data Engineering + Infrastructure * Must be currently pursuing a bachelors, masters, or PhD degree * Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. * Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. * Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues * Previous experience working within AI frameworks, highly preferred. * Previous experience in machine learning research or project work is highly desirable. * Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch.